Water Resources Management

, Volume 24, Issue 6, pp 1211–1227 | Cite as

A Compromise Programming Model to Integrated Urban Water Management

  • Parviz Fattahi
  • Saeed Fayyaz


Integrated urban water management is an important and critical matter in every city and country. Many objectives and criteria such as satisfaction of the urban water consumers, the national benefits and social hazards must be considered in the integrated urban water management. So the integrated urban water management can be considered as a multi-objective problem. In this paper, a mathematical model which uses the compromise programming model is presented to optimize this multi-objective problem. Three famous objectives involving water distribution cost, leakage water and social satisfaction level are considered. To evaluate the performance and efficiency of the proposed model, Hamedan potable water network is chosen as a case study. Results show that the proposed model is capable to present effective solutions for the considered problem. So the proposed mathematical model can be used as an efficient tool for the integrated urban water management in every urban area.


Multi-objective decision making Compromise programming Water distribution network Integrated urban water management (IUWM) 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Abrishamchi A, Ebrahimian A, Tajrishi M, Marina Miguel A (2005) Case study: application of multicriteria decision making to urban water supply. J Water Resour Plan Manage 131:326–335CrossRefGoogle Scholar
  2. Abrishamchi A, Tajrishi M (1997) Multi-criteria decision making in irrigation planning. Proceedings of 4th International Conference on Civil Engineering, Sharif University of Technology, Tehran, Iran (in Farsi)Google Scholar
  3. Bender MJ, Simonovic SP (2000) A fuzzy compromise approaches to water resource systems planning under uncertainty. Fuzzy Sets Syst 115:35–44. doi: 10.1016/S0165-0114(99)00025-1 CrossRefGoogle Scholar
  4. Butcher W, Hames Y, Hall W (1969) Dynamic programming for the optimal sequences of water supply projects. Water Resour Res 5:1196–1204CrossRefGoogle Scholar
  5. Corderio Netto O, Parent E, Duckstein L (1996) Multi criterion design of long-term water supply in Southern France. J Water Resour Plan Manage 122:403–413. doi: 10.1061/(ASCE)0733-9496(1996)122:6(403) CrossRefGoogle Scholar
  6. Duckstein L, Opricovic S (1980) Multi objective optimization in river basin development. Water Resour Res 16:14–20. doi: 10.1029/WR016i001p00014 CrossRefGoogle Scholar
  7. Duckstein L, Bobee B, Ashkar F (1991) A multiple criteria decision modeling approach to selection of estimation techniques for fitting extreme floods. Stoch Hydrol Hydraul 5:227–238. doi: 10.1007/BF01544059 CrossRefGoogle Scholar
  8. Hyde KM, Maier HR, Colby CB (2005) A distance-based uncertainty analysis approach to multi-criteria decision analysis for water resource decision making. J Environ Manag 77(4):278–290. doi: 10.1016/j.jenvman.2005.06.011 CrossRefGoogle Scholar
  9. Lund JR (1987) Evaluation and scheduling of water conservation. J Water Resour Plan Manage 110:696–708. doi: 10.1061/(ASCE)0733-9496(1987)113:5(696) CrossRefGoogle Scholar
  10. Morin T, Esoue A (1971) Some efficient dynamic programming algorithms for the optimal sequencing and scheduling of water supply project’s. Water Resour Res 7:479–484. doi: 10.1029/WR007i003p00479 CrossRefGoogle Scholar
  11. Rubenstein J, Ortolano L (1984) Water conservation and capacity expansion. J Water Resour Plan Manage 110:220–230. doi: 10.1061/(ASCE)0733-9496(1984)110:2(220) CrossRefGoogle Scholar
  12. Saaty TL (1990) Multicriteria decision making: the analytical hierarchical process: planning, priority setting, allocation. RWS, PittsburghGoogle Scholar
  13. Simonovic S (1989) Application of water resources systems concept to the formulation of a water master plan. Water Int 14:37–50. doi: 10.1080/02508068908692032 CrossRefGoogle Scholar
  14. Srdjevic B (2007) Linking analytic hierarchy process and social choice methods to support group decision-making in water management. Decis Support Syst 42(4):2261–2273. doi: 10.1016/j.dss.2006.08.001 CrossRefGoogle Scholar
  15. Tecle A, Duckstein L (1994) Concepts of multi criterion decision making. Multi criteria decision analysis in water resources management. IHP of UNESCO, Paris, pp 33–62Google Scholar
  16. Zarghami M (2006) Integrated water resources management in Polrud irrigation system. Water Resour Manag 20:215–225. doi: 10.1007/s11269-006-8048-0 CrossRefGoogle Scholar
  17. Zarghami M, Abrishamchi A, Ardakanian R (2008) Multi-criteria decision making for integrated urban water management. Water Resour Manag 22:1017–1029. doi: 10.1007/s11269-007-9207-7 CrossRefGoogle Scholar
  18. Zeleny M (1982) Multiple criteria decision making. McGraw-Hill, New YorkGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  1. 1.Department of Industrial Engineering, Faculty of EngineeringBu-Ali Sina UniversityHamedanIran
  2. 2.Department of Industrial EngineeringBu-Ali Sina UniversityHamedanIran

Personalised recommendations